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Dataset Title:  "Deepwater CTD - 88g0525d.ctd.nc - 26.65N, -94.71W - 1988-10-19" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: deepwater_88g0525d_ctd)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 292)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    depth ?  =  m   292 options
    temperature ?  =  degree_C   291 options
    salinity ?  =  PSU   263 options
    oxygen ?  =  milliliters per liter   25 options
    nitrite ?  =  micromols per liter   6 options
    nitrate ?  =  micromols   17 options
    phosphate ?  =  micromols per liter   16 options
    silicate ?  =  micromols per liter   17 options
    salinity2 ?  =  PSU   2 options
    qualityFlag ?  =  2 options

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of All Related Data ?   (Refine the map and/or download the image)

To view the map, check View : Map of All Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 


Distinct Data Counts ?

To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.

 


Distinct Data ?   (Metadata)    (Refine the data subset and/or download the data)  

depth temperature salinity oxygen nitrite nitrate phosphate silicate salinity2 qualityFlag
m degree_C PSU milliliters per liter micromols per liter micromols micromols per liter micromols per liter PSU
5.0 26.877500534057617 36.437801361083984 4.831999778747559 0.0 0.019999999552965164 0.019999999552965164 1.7000000476837158 -99.0 0.0
10.0 26.588499069213867 36.36029815673828 4.810999870300293 0.0 0.019999999552965164 0.009999999776482582 1.7000000476837158 -99.0 0.0
15.0 26.56220054626465 36.20180130004883 4.748000144958496 0.0 0.029999999329447746 0.009999999776482582 1.899999976158142 -99.0 0.0
20.0 26.675100326538086 36.314300537109375 4.879000186920166 0.0 0.029999999329447746 0.009999999776482582 0.699999988079071 -99.0 0.0
25.0 26.759199142456055 36.44200134277344 5.4120001792907715 0.0 0.03999999910593033 0.009999999776482582 0.30000001192092896 -99.0 0.0
30.0 26.74519920349121 36.490501403808594 5.310999870300293 0.009999999776482582 0.03999999910593033 0.009999999776482582 0.6000000238418579 -99.0 0.0
35.0 26.631500244140625 36.505699157714844 5.117000102996826 0.009999999776482582 0.0 0.009999999776482582 0.699999988079071 -99.0 0.0
40.0 26.5310001373291 36.578800201416016 4.926000118255615 0.009999999776482582 0.009999999776482582 0.019999999552965164 0.6000000238418579 -99.0 0.0
45.0 25.96940040588379 36.56869888305664 4.788000106811523 0.05000000074505806 0.009999999776482582 0.019999999552965164 0.6000000238418579 -99.0 0.0
50.0 24.71500015258789 36.56230163574219 4.785999774932861 0.05000000074505806 0.009999999776482582 0.019999999552965164 0.6000000238418579 -99.0 0.0
55.0 24.091999053955078 36.5452995300293 4.599999904632568 0.1599999964237213 0.10000000149011612 0.029999999329447746 0.6000000238418579 -99.0 0.0
60.0 23.681299209594727 36.53850173950195 4.632999897003174 0.1599999964237213 0.10000000149011612 0.029999999329447746 0.5 -99.0 0.0
65.0 23.344200134277344 36.533599853515625 4.526000022888184 0.05000000074505806 1.100000023841858 0.05999999865889549 0.4000000059604645 -99.0 0.0
70.0 22.96190071105957 36.51860046386719 4.340000152587891 0.029999999329447746 2.5999999046325684 0.15000000596046448 0.30000001192092896 -99.0 0.0
75.0 22.774499893188477 36.513301849365234 3.1670000553131104 0.009999999776482582 9.800000190734863 0.5199999809265137 2.299999952316284 -99.0 0.0
80.0 22.519500732421875 36.508399963378906 2.796999931335449 0.0 15.600000381469727 0.8600000143051147 4.800000190734863 -99.0 0.0
85.0 22.31290054321289 36.513999938964844 2.6589999198913574 0.0 19.799999237060547 1.1399999856948853 7.099999904632568 -99.0 0.0
90.0 22.122800827026367 36.517799377441406 2.5179998874664307 0.0 25.200000762939453 1.6399999856948853 11.100000381469727 -99.0 0.0
95.0 21.895299911499023 36.517601013183594 2.5360000133514404 0.009999999776482582 25.200000762939453 1.649999976158142 11.100000381469727 -99.0 0.0
100.0 21.71139907836914 36.51750183105469 2.6089999675750732 0.0 31.299999237060547 1.840000033378601 19.0 -99.0 0.0
105.0 21.611900329589844 36.52220153808594 2.86899995803833 0.0 31.899999618530273 1.909999966621399 21.899999618530273 -99.0 0.0
110.0 21.524200439453125 36.525299072265625 3.2100000381469727 0.0 31.100000381469727 1.8899999856948853 24.100000381469727 -99.0 0.0
115.0 21.462299346923828 36.531700134277344 3.5360000133514404 0.009999999776482582 29.899999618530273 1.8300000429153442 24.899999618530273 -99.0 0.0
120.0 21.407100677490234 36.531700134277344 3.647900104522705 0.009999999776482582 29.899999618530273 1.8200000524520874 25.0 -99.0 0.0
125.0 21.348499298095703 36.53419876098633 0.0
130.0 21.308399200439453 36.53300094604492 0.0
135.0 21.257699966430664 36.52939987182617 0.0
140.0 21.156299591064453 36.52159881591797 0.0
145.0 20.967599868774414 36.507999420166016 0.0
150.0 20.76020050048828 36.49330139160156 0.0
155.0 20.5 36.479000091552734 0.0
160.0 20.391599655151367 36.4817008972168 0.0
165.0 20.285900115966797 36.47890090942383 0.0
170.0 20.08880043029785 36.47850036621094 0.0
175.0 19.90410041809082 36.479400634765625 0.0
180.0 19.740800857543945 36.47869873046875 0.0
185.0 19.579700469970703 36.48590087890625 0.0
190.0 19.497699737548828 36.49140167236328 0.0
195.0 19.356700897216797 36.48680114746094 0.0
200.0 19.034400939941406 36.47019958496094 0.0
205.0 18.695100784301758 36.446998596191406 0.0
210.0 18.397199630737305 36.41109848022461 0.0
215.0 18.184099197387695 36.386199951171875 0.0
220.0 17.850500106811523 36.355499267578125 0.0
225.0 17.59819984436035 36.320701599121094 0.0
230.0 17.332000732421875 36.29119873046875 0.0
235.0 17.080299377441406 36.250099182128906 0.0
240.0 16.792400360107422 36.216400146484375 0.0
245.0 16.54050064086914 36.17689895629883 0.0
250.0 16.33049964904785 36.14910125732422 0.0
255.0 16.09630012512207 36.10100173950195 0.0
260.0 15.902299880981445 36.085201263427734 0.0
265.0 15.634699821472168 36.0463981628418 0.0
270.0 15.413700103759766 36.00790023803711 0.0
275.0 15.125 35.964698791503906 0.0
280.0 14.91510009765625 35.94020080566406 0.0
285.0 14.727399826049805 35.910099029541016 0.0
290.0 14.547200202941895 35.884498596191406 0.0
295.0 14.392900466918945 35.855201721191406 0.0
300.0 14.240599632263184 35.83489990234375 0.0
305.0 14.046899795532227 35.80950164794922 0.0
310.0 13.883000373840332 35.785701751708984 0.0
315.0 13.711099624633789 35.758201599121094 0.0
320.0 13.565400123596191 35.73440170288086 0.0
325.0 13.453800201416016 35.71500015258789 0.0
330.0 13.409099578857422 35.707698822021484 0.0
335.0 13.255599975585938 35.68389892578125 0.0
340.0 13.076199531555176 35.659000396728516 0.0
345.0 12.92959976196289 35.63249969482422 0.0
350.0 12.806500434875488 35.614498138427734 0.0
355.0 12.711799621582031 35.601200103759766 0.0
360.0 12.625900268554688 35.586299896240234 0.0
365.0 12.496899604797363 35.56669998168945 0.0
370.0 12.391300201416016 35.552398681640625 0.0
375.0 12.246000289916992 35.535701751708984 0.0
380.0 12.155500411987305 35.521400451660156 0.0
385.0 12.080499649047852 35.508399963378906 0.0
390.0 12.008299827575684 35.49489974975586 0.0
395.0 11.920700073242188 35.47930145263672 0.0
400.0 11.76990032196045 35.4536018371582 0.0
405.0 11.641200065612793 35.4370002746582 0.0
410.0 11.551199913024902 35.425899505615234 0.0
415.0 11.48069953918457 35.41419982910156 0.0
420.0 11.388500213623047 35.40620040893555 0.0
425.0 11.333800315856934 35.39609909057617 0.0
430.0 11.315099716186523 35.39310073852539 0.0
435.0 11.275300025939941 35.38610076904297 0.0
440.0 11.18649959564209 35.374900817871094 0.0
445.0 11.011500358581543 35.355499267578125 0.0
450.0 10.863300323486328 35.33430099487305 0.0
455.0 10.761199951171875 35.318199157714844 0.0
460.0 10.705499649047852 35.306800842285156 0.0
465.0 10.582200050354004 35.29079818725586 0.0
470.0 10.501899719238281 35.27799987792969 0.0
475.0 10.416600227355957 35.2666015625 0.0
480.0 10.328100204467773 35.247501373291016 0.0
485.0 10.152999877929688 35.2307014465332 0.0
490.0 10.004899978637695 35.214698791503906 0.0
495.0 9.90880012512207 35.19779968261719 0.0
500.0 9.833700180053711 35.18669891357422 0.0
505.0 9.68019962310791 35.166900634765625 0.0
510.0 9.594300270080566 35.15800094604492 0.0
515.0 9.538399696350098 35.15190124511719 0.0
520.0 9.45479965209961 35.14039993286133 0.0
525.0 9.388500213623047 35.13349914550781 0.0
530.0 9.31760025024414 35.12630081176758 0.0
535.0 9.284000396728516 35.119998931884766 0.0
540.0 9.228899955749512 35.11199951171875 0.0
545.0 9.092100143432617 35.099700927734375 0.0
550.0 8.989700317382812 35.08810043334961 0.0
555.0 8.927900314331055 35.07939910888672 0.0
560.0 8.874699592590332 35.07419967651367 0.0
565.0 8.800999641418457 35.059898376464844 0.0
570.0 8.728300094604492 35.05609893798828 0.0
575.0 8.67039966583252 35.04629898071289 0.0
580.0 8.629599571228027 35.041900634765625 0.0
585.0 8.589099884033203 35.035099029541016 0.0
590.0 8.485199928283691 35.032798767089844 0.0
595.0 8.356900215148926 35.01839828491211 0.0
600.0 8.297200202941895 35.01430130004883 0.0
605.0 8.246199607849121 35.010101318359375 0.0
610.0 8.196200370788574 35.003700256347656 0.0
615.0 8.147700309753418 34.99829864501953 0.0
620.0 8.081299781799316 34.99129867553711 0.0
625.0 8.03439998626709 34.98749923706055 0.0
630.0 7.985099792480469 34.98360061645508 0.0
635.0 7.889699935913086 34.97560119628906 0.0
640.0 7.82289981842041 34.972599029541016 0.0
645.0 7.773099899291992 34.96989822387695 0.0
650.0 7.697199821472168 34.96160125732422 0.0
655.0 7.616300106048584 34.95370101928711 0.0
660.0 7.552000045776367 34.94969940185547 0.0
665.0 7.479300022125244 34.942901611328125 0.0
670.0 7.441999912261963 34.94060134887695 0.0
675.0 7.420499801635742 34.9385986328125 0.0
680.0 7.372900009155273 34.93600082397461 0.0
685.0 7.317599773406982 34.92959976196289 0.0
690.0 7.235199928283691 34.92539978027344 0.0
695.0 7.182700157165527 34.92129898071289 0.0
700.0 7.151400089263916 34.92150115966797 0.0
705.0 7.139400005340576 34.918800354003906 0.0
710.0 7.076499938964844 34.911800384521484 0.0
715.0 6.994900226593018 34.907798767089844 0.0
720.0 6.9471001625061035 34.908599853515625 0.0
725.0 6.919899940490723 34.906700134277344 0.0
730.0 6.865600109100342 34.90489959716797 0.0
735.0 6.831500053405762 34.9031982421875 0.0
740.0 6.774199962615967 34.90230178833008 0.0
745.0 6.7093000411987305 34.89970016479492 0.0
750.0 6.645199775695801 34.89550018310547 0.0
755.0 6.591800212860107 34.89590072631836 0.0
760.0 6.572500228881836 34.8942985534668 0.0
765.0 6.553100109100342 34.89400100708008 0.0
770.0 6.537499904632568 34.89360046386719 0.0
775.0 6.498300075531006 34.89289855957031 0.0
780.0 6.467199802398682 34.89310073852539 0.0
785.0 6.43209981918335 34.89360046386719 0.0
790.0 6.39870023727417 34.89289855957031 0.0
795.0 6.349299907684326 34.892398834228516 0.0
800.0 6.255300045013428 34.892398834228516 0.0
805.0 6.201000213623047 34.89059829711914 0.0
810.0 6.1596999168396 34.88779830932617 1.0
815.0 6.085700035095215 34.89099884033203 0.0
820.0 6.060500144958496 34.888999938964844 0.0
825.0 6.018799781799316 34.88719940185547 0.0
830.0 5.996200084686279 34.88719940185547 0.0
835.0 5.970099925994873 34.88930130004883 0.0
840.0 5.938799858093262 34.89059829711914 0.0
845.0 5.904900074005127 34.89149856567383 0.0
850.0 5.864099979400635 34.8927001953125 0.0
855.0 5.837299823760986 34.8922004699707 0.0
860.0 5.818900108337402 34.8922004699707 0.0
865.0 5.795300006866455 34.892799377441406 0.0
870.0 5.775300025939941 34.89289855957031 0.0
875.0 5.752699851989746 34.89360046386719 0.0
880.0 5.727499961853027 34.8942985534668 0.0
885.0 5.7058000564575195 34.89469909667969 0.0
890.0 5.6869001388549805 34.89500045776367 0.0
895.0 5.661300182342529 34.89609909057617 0.0
900.0 5.640900135040283 34.89619827270508 0.0
905.0 5.61329984664917 34.89739990234375 0.0
910.0 5.581299781799316 34.89849853515625 0.0
915.0 5.560699939727783 34.89889907836914 0.0
920.0 5.515399932861328 34.90079879760742 0.0
925.0 5.490300178527832 34.90060043334961 0.0
930.0 5.489999771118164 34.90010070800781 0.0
935.0 5.47760009765625 34.90039825439453 0.0
940.0 5.443399906158447 34.900901794433594 0.0
945.0 5.4257001876831055 34.90190124511719 0.0
950.0 5.4095001220703125 34.902801513671875 0.0
955.0 5.400000095367432 34.90290069580078 0.0
960.0 5.375400066375732 34.90409851074219 0.0
965.0 5.3379998207092285 34.90510177612305 0.0
970.0 5.301799774169922 34.90769958496094 0.0
975.0 5.273099899291992 34.90890121459961 0.0
980.0 5.253200054168701 34.909400939941406 0.0
985.0 5.235199928283691 34.910099029541016 0.0
990.0 5.221799850463867 34.90959930419922 0.0
995.0 5.1946001052856445 34.9109992980957 0.0
1000.0 5.172800064086914 34.91170120239258 0.0
1005.0 5.140699863433838 34.912899017333984 0.0
1010.0 5.11269998550415 34.91490173339844 0.0
1015.0 5.10290002822876 34.914798736572266 0.0
1020.0 5.084199905395508 34.915199279785156 0.0
1025.0 5.066299915313721 34.916500091552734 0.0
1030.0 5.052199840545654 34.916900634765625 0.0
1035.0 5.038899898529053 34.917598724365234 0.0
1040.0 5.012700080871582 34.9192008972168 0.0
1045.0 4.998000144958496 34.91960144042969 0.0
1050.0 4.981299877166748 34.92020034790039 0.0
1055.0 4.9567999839782715 34.921199798583984 0.0
1060.0 4.934100151062012 34.922000885009766 0.0
1065.0 4.920599937438965 34.92319869995117 0.0
1070.0 4.90880012512207 34.92359924316406 0.0
1075.0 4.889100074768066 34.92470169067383 0.0
1080.0 4.864799976348877 34.92509841918945 0.0
1085.0 4.845300197601318 34.92679977416992 0.0
1090.0 4.811100006103516 34.92839813232422 0.0
1095.0 4.774600028991699 34.930599212646484 0.0
1100.0 4.756499767303467 34.931400299072266 0.0
1105.0 4.75 34.93109893798828 0.0
1110.0 4.747099876403809 34.93109893798828 0.0
1115.0 4.73960018157959 34.93149948120117 0.0
1120.0 4.726399898529053 34.93239974975586 0.0
1125.0 4.7093000411987305 34.93330001831055 0.0
1130.0 4.704699993133545 34.93330001831055 0.0
1135.0 4.703199863433838 34.933101654052734 0.0
1140.0 4.701300144195557 34.93330001831055 0.0
1145.0 4.702000141143799 34.933101654052734 0.0
1150.0 4.696100234985352 34.93320083618164 0.0
1155.0 4.682300090789795 34.93429946899414 0.0
1160.0 4.668099880218506 34.935298919677734 0.0
1165.0 4.659900188446045 34.93539810180664 0.0
1170.0 4.635200023651123 34.93629837036133 0.0
1175.0 4.617000102996826 34.9369010925293 0.0
1180.0 4.59630012512207 34.9385986328125 0.0
1185.0 4.582799911499023 34.939300537109375 0.0
1190.0 4.573200225830078 34.94020080566406 0.0
1195.0 4.559999942779541 34.940399169921875 0.0
1200.0 4.55079984664917 34.94139862060547 0.0
1205.0 4.545100212097168 34.94139862060547 0.0
1210.0 4.532899856567383 34.942298889160156 0.0
1215.0 4.525000095367432 34.942501068115234 0.0
1220.0 4.513400077819824 34.94350051879883 0.0
1225.0 4.505499839782715 34.94350051879883 0.0
1230.0 4.5015997886657715 34.94380187988281 0.0
1235.0 4.495299816131592 34.94409942626953 0.0
1240.0 4.480400085449219 34.9452018737793 0.0
1245.0 4.4670000076293945 34.945899963378906 0.0
1250.0 4.458399772644043 34.94620132446289 0.0
1255.0 4.453000068664551 34.94649887084961 0.0
1260.0 4.451099872589111 34.94649887084961 0.0
1265.0 4.444300174713135 34.946998596191406 0.0
1270.0 4.442399978637695 34.9468994140625 0.0
1275.0 4.442200183868408 34.9468994140625 0.0
1280.0 4.43779993057251 34.946998596191406 0.0
1285.0 4.430300235748291 34.94710159301758 0.0
1290.0 4.419099807739258 34.94810104370117 0.0
1295.0 4.413899898529053 34.94839859008789 0.0
1300.0 4.4039998054504395 34.94900131225586 0.0
1305.0 4.39769983291626 34.94900131225586 0.0
1310.0 4.386000156402588 34.950199127197266 0.0
1315.0 4.376800060272217 34.950599670410156 0.0
1320.0 4.363900184631348 34.95159912109375 0.0
1325.0 4.354800224304199 34.95199966430664 0.0
1330.0 4.351500034332275 34.95180130004883 0.0
1335.0 4.346499919891357 34.95220184326172 0.0
1340.0 4.339300155639648 34.952598571777344 0.0
1345.0 4.3383002281188965 34.952701568603516 0.0
1350.0 4.338900089263916 34.95249938964844 0.0
1355.0 4.339300155639648 34.95249938964844 0.0
1360.0 4.339399814605713 34.95220184326172 0.0
1365.0 4.337800025939941 34.952598571777344 0.0
1370.0 4.3358001708984375 34.95240020751953 0.0
1375.0 4.329500198364258 34.95320129394531 0.0
1380.0 4.328999996185303 34.952999114990234 0.0
1385.0 4.323800086975098 34.95349884033203 0.0
1390.0 4.315999984741211 34.9541015625 0.0
1395.0 4.310299873352051 34.95429992675781 0.0
1400.0 4.306399822235107 34.954498291015625 0.0
1405.0 4.300000190734863 34.954898834228516 0.0
1410.0 4.297399997711182 34.954898834228516 0.0
1415.0 4.296800136566162 34.95500183105469 0.0
1420.0 4.298099994659424 34.95500183105469 0.0
1425.0 4.297999858856201 34.954898834228516 0.0
1430.0 4.293399810791016 34.955299377441406 0.0
1435.0 4.290800094604492 34.95539855957031 0.0
1440.0 4.28879976272583 34.95539855957031 0.0
1445.0 4.286399841308594 34.95539855957031 0.0
1450.0 4.2845001220703125 34.9557991027832 0.0
1455.0 4.28380012512207 34.95560073852539 0.0
1460.0 4.282100200653076 34.9556999206543 0.0

In total, there are 292 rows of distinct combinations of the variables listed above. All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
 


Related Data Counts ?

To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 


Related Data ?   (Metadata)    (Refine the data subset and/or download the data)

To view the related data, change View : Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.


 
ERDDAP, Version 2.23
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